Using Quantum Algorithms to Explore Decarbonization
Atos partners with Total to tackle decarbonization using quantum algorithm
Atos, a global leader in digital transformation, announces a multi-year partnership with French multinational energy company Total, to explore new and more effective pathways to a decarbonized, energy-efficient future using quantum technologies. Leveraging Atos’ unique Center for Excellence in Performance Programming (CEPP) and Quantum R&D Program, this partnership aims to use quantum calculation to identify new materials and molecules that will accelerate society’s journey to carbon neutrality.
Philippe Duluc, SVP, Chief Technology Officer for Big Data and Security at Atos said: “We are proud to be working with our long-standing partner Total in fighting climate change using the most advanced quantum technologies available. Achieving carbon neutrality will be one of society’s most difficult challenge in the upcoming decades and together with Total, we are committed to leverage our mutual capacity for innovation to find actionable insights and patterns that will facilitate our collective efforts to build a sustainable future”.
This announcement follows Total’s acquisition, in 2019, of the world’s highest-performing commercially available quantum simulator, Atos Quantum Learning Machine (Atos QLM). Atos QLM is used by Atos and Total to test and accelerate existing quantum algorithms or create new ones to achieve breakthroughs in various fields, in particular the discovery of new materials for carbon capture or energy storage. Their work focuses, amongst other things, on simulating larger complex molecules than what is currently possible with HPC technologies in order to uncover more efficient and affordable adsorbents.
As part of the partnership, Atos’ team of quantum experts supports Total in finely tuning quantum algorithms for optimal results and offers technical support on the Atos QLM.
Source: Atos. Marion Delmas, Atos partners with Total to tackle decarbonization using quantum algorithm…
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